Dear list,
I'm trying to do a set of generic functions do make contingency tables from
data.frames. It is just running "nice" (I'm learning R), but I think it can be
better.
I would like to filter the data.frame, i.e, eliminate all not numeric variables.
And I don't know how to make it: please, help me.
Below one of the my functions ('er' is a mention to EasieR, because I'm trying
to do a package for myself and the my students):
#2. Tables from data.frames
#2.1---er.table.df.br (User define breaks and right)------------
er.table.df.br <- function(df,
breaks = c('Sturges', 'Scott', 'FD'),
right = FALSE) {
if (is.data.frame(df) != 'TRUE')
stop('need "data.frame" data')
dim_df <- dim(df)
tmpList <- list()
for (i in 1:dim_df[2]) {
x <- as.matrix(df[ ,i])
x <- na.omit(x)
k <- switch(breaks[1],
'Sturges' = nclass.Sturges(x),
'Scott' = nclass.scott(x),
'FD' = nclass.FD(x),
stop("'breaks' must be 'Sturges', 'Scott' or 'FD'"))
tmp <- range(x)
classIni <- tmp[1] - tmp[2]/100
classEnd <- tmp[2] + tmp[2]/100
R <- classEnd-classIni
h <- R/k
# Absolut frequency
f <- table(cut(x, br = seq(classIni, classEnd, h), right = right))
# Relative frequency
fr <- f/length(x)
# Relative frequency, %
frP <- 100*(f/length(x))
# Cumulative frequency
fac <- cumsum(f)
# Cumulative frequency, %
facP <- 100*(cumsum(f/length(x)))
fi <- round(f, 2)
fr <- round(as.numeric(fr), 2)
frP <- round(as.numeric(frP), 2)
fac <- round(as.numeric(fac), 2)
facP <- round(as.numeric(facP),2)
# Table
res <- data.frame(fi, fr, frP, fac, facP)
names(res) <- c('Class limits', 'fi', 'fr', 'fr(%)', 'fac', 'fac(%)')
tmpList <- c(tmpList, list(res))
}
names(tmpList) <- names(df)
return(tmpList)
}
To try the function:
#a) runing nice
y1=rnorm(100, 10, 1)
y2=rnorm(100, 58, 4)
y3=rnorm(100, 500, 10)
mydf=data.frame(y1, y2, y3)
#tbdf=er.table.df.br (mydf, breaks = 'Sturges', right=F)
#tbdf=er.table.df.br (mydf, breaks = 'Scott', right=F)
tbdf=er.table.df.br (mydf, breaks = 'FD', right=F)
print(tbdf)
#b) One of the problems
y1=rnorm(100, 10, 1)
y2=rnorm(100, 58, 4)
y3=rnorm(100, 500, 10)
y4=rep(letters[1:10], 10)
mydf=data.frame(y1, y2, y3, y4)
tbdf=er.table.df.br (mydf, breaks = 'Scott', right=F)
print(tbdf)
Could anyone give me a hint how to work around this?
PS: Excuse my bad English ;-)
--
Jose Claudio Faria
Brasil/Bahia/UESC/DCET
Estatistica Experimental/Prof. Adjunto
mails:
[EMAIL PROTECTED]
[EMAIL PROTECTED]
[EMAIL PROTECTED]
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
